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Almost periodic solution for multidirectional associative memory neural network with distributed delays

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成果类型:
期刊论文
作者:
Zhou, Tiejun*;Wang, Min;Li, Chen
通讯作者:
Zhou, Tiejun
作者机构:
[Zhou, Tiejun] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
[Li, Chen; Wang, Min] Hunan Agr Univ, Coll Orient Sci & Technol, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Zhou, Tiejun] H
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Almost periodic solution;Exponential dichotomy;Global exponential stability;Multidirectional associative memory neural networks;Spectral radius
期刊:
Mathematics and Computers in Simulation
ISSN:
0378-4754
年:
2015
卷:
107
页码:
52-60
基金类别:
Science Foundation of Hunan Agricultural University [07WD08]
机构署名:
本校为第一且通讯机构
院系归属:
理学院
东方科技学院
摘要:
This paper proposes a mathematical model of multidirectional associative memory (MAM) neural network with almost periodic coefficients and continuously distributed delays. By using exponential dichotomy and spectral radius, a sufficient condition for the existence and the global exponential stability of an almost periodic solution is obtained. Two examples are given to illustrate the effectiveness of our results. © 2014 International Association for Mathematics and Computers in Simulat...

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